Definitions from Wikipedia (Proximal gradient methods for learning)

▸ noun:  Proximal gradient (forward backward splitting) methods for learning is an area of research in optimization and statistical learning theory which studies algorithms for a general class of convex regularization problems where the regularization penalty may not be differentiable.


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